Forecast product / service demand levels

Danone increased product demand forecast accuracy to 92% with a 55% improvement in net uplift from promotional events using machine learning

Fox predicts likelihood of watching movies at theatres based on trailers with machine learning

Granarolo reduces inventory levels by more than 50% and cuts capital and lead time in half using machine learning

Danone reduces forecast error and lost sales by 20 and 30 percent respectively and achieves a 10 point ROI improvement in promotions with machine learning

Viacom reduces video start delay by 33% by improving video streaming using machine learning to analyse network performance and resource utilisation

Researchers from Northwestern University achieved 88% accuracy predicting Amazon bestsellers with machine learning

Big River Steel makes more accurate demand predictions using machine learning

Coca-Cola achieves 6 percent additional revenue with 15 percent fewer restocking trips by identifying the right product and placement using intelligent vending machines